AI Governance / Multi-Agent Routing

Multi-Agent Router

AI guardrails can allow or deny a request, but multi-agent routing determines where an approved request should go and which processing pipeline it should follow. This project demonstrates how a policy-driven routing layer directs requests to the appropriate AI agent or model before any information is processed, so sensitive data and unauthorized users never reach the wrong downstream model or tool in the first place.

Current request
Credential check
Rule fired

Request

No request drawn yet
Press “Run process” to draw a synthetic request from the pool, or force a specific one from the selector.

Processing Spine

Routing

Governance note

Routing Log

RequestTimeRequesterTier / Domain IntentSensitivityCredentialRule(s)Destination
No requests routed this session yet.
Simulated routing engine running on synthetic enterprise data. A production router wires a real identity provider and trained intent classifiers into each check.